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MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation models
Multimodal Large Language Models (MLLMs) have tremendous potential to improve the
accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions …
accuracy, availability, and cost-effectiveness of healthcare by providing automated solutions …
A survey on evaluation of multimodal large language models
J Huang, J Zhang - arxiv preprint arxiv:2408.15769, 2024 - arxiv.org
Multimodal Large Language Models (MLLMs) mimic human perception and reasoning
system by integrating powerful Large Language Models (LLMs) with various modality …
system by integrating powerful Large Language Models (LLMs) with various modality …
A survey on multimodal benchmarks: In the era of large ai models
The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …
advancements in artificial intelligence, significantly enhancing the capability to understand …
CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification
The main challenges limiting the adoption of deep learning-based solutions in medical
workflows are the availability of annotated data and the lack of interpretability of such …
workflows are the availability of annotated data and the lack of interpretability of such …